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Datasets/FSS-1000

FSS-1000

Images

FSS-1000 is a 1000 class dataset for few-shot segmentation. The dataset contains significant number of objects that have never been seen or annotated in previous datasets, such as tiny daily objects, merchandise, cartoon characters, logos, etc.

Source: https://github.com/HKUSTCV/FSS-1000 Image Source: https://github.com/HKUSTCV/FSS-1000

Benchmarks

Few-Shot Learning/Mean IoUFew-Shot Semantic Segmentation/Mean IoUMeta-Learning/Mean IoU

Related Benchmarks

FSS-1000 (1-shot)/Few-Shot Learning/FB-IoUFSS-1000 (1-shot)/Few-Shot Learning/Mean IoUFSS-1000 (1-shot)/Few-Shot Semantic Segmentation/FB-IoUFSS-1000 (1-shot)/Few-Shot Semantic Segmentation/Mean IoUFSS-1000 (1-shot)/Meta-Learning/FB-IoUFSS-1000 (1-shot)/Meta-Learning/Mean IoUFSS-1000 (5-shot)/Few-Shot Learning/FB-IoUFSS-1000 (5-shot)/Few-Shot Learning/Mean IoUFSS-1000 (5-shot)/Few-Shot Learning/mIoUFSS-1000 (5-shot)/Few-Shot Semantic Segmentation/FB-IoUFSS-1000 (5-shot)/Few-Shot Semantic Segmentation/Mean IoUFSS-1000 (5-shot)/Few-Shot Semantic Segmentation/mIoUFSS-1000 (5-shot)/Meta-Learning/FB-IoUFSS-1000 (5-shot)/Meta-Learning/Mean IoUFSS-1000 (5-shot)/Meta-Learning/mIoU

Statistics

Papers
49
Benchmarks
3

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Tasks

Few-Shot LearningFew-Shot Semantic SegmentationMeta-Learning